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Master of Science in Supply Chain Analytics

Master of Science in Supply Chain Analytics

Program Description

The Graduate Supply Chain Analytics program prepares students with advanced analytical methods to help structure and make better decisions within supply chain operations. It provides a rational basis for supply chain decision-making by seeking to structure and evaluate complex supply chain and logistics problems thru data and to use gained insights to predict outcomes and improve performance. It leverages theoretical and practical studies of supply chain management to design, access, and manage data sets; develop descriptive, prescriptive, and predictive analytical models; and manage the deployment of the models to supply chain decision-makers.

Admissions Requirements

Degree Required: Any field

Mathematics Required: Calculus (integration and differential calculus) and statistics

Test Required: GMAT - 550; or GRE - 153V/148Q (within the last five years)

GPA Required: Overall - 3.0; Mathematics - 3.0; Major - 3.0

Waivers to the above criteria may be granted on a case-by case-basis. Therefore, individuals whose academic credentials fall below any of the above criteria are encouraged to apply.

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Outcomes & Objectives


Program Outcomes (POs)

  • Critical Thinking Skills. Can critically analyze supply chain situations, information, and data.
  • Problem-Solving Skills. Can formulate problem statements, ascertain and collect the relevant data, and utilize the correct methodology to solve supply chain problems.
  • Communication Skills. Develop written and oral communications skills necessary to present complex problems to supply chain decision-makers: problem definition, modeling methodologies, including solution advocacy that utilizes rigorous analytical support.
  • Data Science Expertise. Able to design, develop, and employ analytical techniques to collect, retain, and wrangle data. Able to apply analytical approaches to solve supply chain problems and analyze big data sets using the current state-of-the-art technologies. Conversant with the terminologies and tools used in the data science communities to be an effective communicator and integrator across DoD supply chain communities. Support Air Force and DoD supply chain operations and decision-making with data science applications.

Program Educational Objectives (PEOs)

  • Breadth. Apply foundational analytical techniques to advance the supply chain operations of the Air Force, DoD, and other intra-/inter-governmental organizations efficiently and effectively.
  • Depth. Are well-educated, highly valued, and successful supply chain analysts.
  • Teamwork. Significantly contribute to technical interdisciplinary team projects.
  • Professionalism. Professionally communicate analytical assessments, solutions, and results.
  • Lifelong Learning. Continue to pursue lifelong multidisciplinary learning. Manage and investigate data sets, including data wrangling, cleaning, sampling, and modeling. Develop and apply graphical and algorithmic solutions to improve decision-making on supply-chain problems. Communicate about investigation and analysis of supply chain problems to technical, managerial, and executive audiences.


Program Chair

Lt Col Amanda Femano

Degree Information

Degree Type: Master's


Delivery Method: In-Residence


Degree Requirements

  • Supply Chain Management Foundation (20 hours)
  • Math Foundation (4 hours)
  • Data Analytics Foundation (12 hours)
  • Thesis (12 hours)

Graduate School Catalog
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Air Force Institute of Technology
2950 Hobson Way
Wright-Patterson Air Force Base, OH 45433-7765
Commercial: 937-255-6565 | DSN: 785-6565